OC People

The following persons are major players in Organic Computing and the Organic Computing initiative:
Kirstie L Bellman - The Aerospace Corp
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Uwe Brinkschulte - Goethe Universität Frankfurt am Main
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Michael Beigl - Karlsruhe Institute of Technology
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Ada Diaconescu - Telecom ParisTech

Web: http://adadiaconescu.there-you-are.com

Main Topics:

– Software engineering for autonomic computing systems
– Decentralised control of large-scale distributed and adaptive systems
– Component and service-oriented software
– Emergence
– Interdisciplinary solutions for managing software complexity

Frank Dürr - Universität Stuttgart
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Jörg Hähner - Universität Augsburg

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Prof. Jörg Hähner’s main research interest is in investigating and engineering self-organised distributed systems with special focus on controlled self-organisation, collaborative problem solving, runtime versions of former design time decisions, and applicable learning solutions for complex real-world problems.

Main topics:

– Organic Computing
– Controlled Self-organisation
– Sensor-/Actuator- Networks
– Applied Machine Learning techniques
– Adaptive communication systems
– Observer/controller architectures
– Collaborative runtime optimisation
– Self-organised surveillance systems
– Traffic control as example for self-organised distributed systems
– Runtime control of technical systems / Moving design time decision into the runtime
– embedded control of distributed and safety-critical – systems

Andreas Herkersdorf - Technische Universität München
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Wolfgang Karl - Karlsruhe Institute of Technology
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Bernd Kleinjohann - Universität Paderborn
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Erik Maehle - Universität zu Lübeck
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Sanaz Mostaghim - Karlsruhe Institute of Technology

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Sanaz Mostaghim’s main research interest is about parallel algorithms for solving complex problems which appear in different research disciplines such as optimization and distributed systems.

Web: https://people.aifb.kit.edu/smo/SanazMostaghim.htm

Main topics:

– Organic Computing
– Swarm Intelligence
– Computational Intelligence
– Multi-objective Optimization
– Population-based Optimization
– Swarm Robotics
– Intelligent Adaptive Systems

Gero Mühl - Universität Rostock

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Prof. Gero Mühl’s main research interest lies in integrating methods of organic computing into middleware and operating systems. For example, he is researching self-organizing publish/subscribe systems, energy-efficient cloud computing, and adaptive storage systems.

Web: http://wwwava.informatik.uni-rostock.de/muehl.html

Main topics:

– Organic Computing
– Self-Organization
– Middleware, Algorithms and Protocols for Distributed Systems
– Publish/Subscribe Systems
– Complex Event Processing (CEP)
– Event-Driven Architecture (EDA)
– Webservice Composition
– Energy-Efficient Operation of Computer Systems
– Hybrid Storage Systems

Christian Müller-Schloer - Leibniz Universität Hannover

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Prof. Christian Müller-Schloer’s main research interest is in a deeper understanding of the mechanisms governing the self-organization of natural systems and the possibilities to transfer these mechanisms to complex technical systems.

Web: http://www.sra.uni-hannover.de/cms.html

Main topics:

-Organic Computing
-Quantitative emergence
-Organic Traffic Control
-Observer/controller architectures
-Learning classifier systems
-Selforganized Trusted Communities
-Online optimization

Mathias Pacher - Leibniz Universität Hannover

Pacher, Mathias

Research and education in the field of real-time and embedded self-organizing systems and Organic Computing.  Examples are the formal specification of an artificial hormone system (AHS) and research on the AHS considering computing systems with many processing cores.

Web: http://www.sra.uni-hannover.de/pacher.html

 

 

 

 

 

Franz Rammig - Universität Paderborn
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Wolfgang Reif - Universität Augsburg
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Christian Renner - Universität zu Lübeck
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Kay Römer - Universität zu Lübeck
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Hartmut Schmeck - Karlsruhe Institute of Technology
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Ingo Scholtes - Swiss Federal Institute of Technology Zurich

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Dr. Ingo Scholtes’s main interest is to understand complexity and collective dynamics emerging in distributed systems. This includes distributed technical systems like computer networks, Peer-to-Peer systems and information systems, but also socio-technical systems found in collaborative software engineering and online social networks.

Web: http://www.ingoscholtes.net 

Main topics:

– Theory of complex systems and complex networks
– Modeling and analysis of dynamic network topologies
– Organic design of massively distributed systems
– Distributed control and adaptation in networked systems
– Peer-to-Peer systems and overlay networks
– Emergence of collective dynamics in complex networks
– Modeling and analysis of social dynamics
– Social and collaborative aspects in software engineering
– Design of information and recommender systems
– Modeling, analysis and design of socio-technical systems

Bernhard Sick - Universität Kassel
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Jürgen Teich - Universität Erlangen-Nürnberg
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Sven Tomforde - Universität Augsburg

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Dr.-Ing. Sven Tomforde’s main research interest is in investigating and engineering self-organised distributed systems with special focus on controlled self-organisation, learning in safety-critical environments and runtime versions of former design time decisions.

Main topics:

– Organic Computing
– Controlled Self-organisation
– Sensor-/Actuator- Networks
– Applied Machine Learning techniques
– Adaptive communication systems
– Observer/controller architectures
– Collaborative runtime optimisation
– Vehicular traffic control as example for self-organised distributed systems
– Runtime control of technical systems / Moving design time decision into the runtime
– Embedded control of distributed and safety-critical – systems

Theo Ungerer - Universität Augsburg

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Prof. Theo Ungerer’s current research interests are in the areas of embedded processor architectures, hard real-time systems, multi- and many-cores, safety and dependability, fault tolerance and organic computing.It is the target of the OC-TRUST research project of Prof. Ungerer to improve the self-x algorithms of Organic Computing by trust techniques. Important services should be executed preferably on reliable nodes resulting in a more robust system that is able to handle unreliable components. Trust metrics (direct trust, reputation, and the combination of both) were already developed and will be applied to trust-improved self-configuration, self-optimization and self-healing algorithms as well as self-protection of the trust metrics itself. The work at University of Augsburg within the EC-project Teraflux concerns self-organising fault detection and recovery techniques within a future 1000-core processor chip that is organised with threaded data-flow principles.

Web: http://www.informatik.uni-augsburg.de/en/chairs/sik/research/

Arno Wacker - Universität Kassel
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Stefan Wildermann - Universität Erlangen-Nürnberg
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Rolf Würtz - Ruhr Universität Bochum
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